Numba 0.49.0 all (#824)

* Fix run tests

Remove import of _getitem_array1d

* expectedFailure

* expectedFailure-2

* expectedFailure-3

* Conda recipe numba==0.49

* expectedFailure-4

* Refactor imports from Numba

* Unskip tests

* Fix using of numpy_support.from_dtype()

* Unskip tests

* Fix DataFrame tests with rewrite IR without Del statements

* Unskip tests

* Fix corr_overload with type inference error for none < 1

* Fix hpat_pandas_series_cov with type inference error for none < 2

* Unskip tests

* Unskip tests

* Fixed iternext_series_array with using _getitem_array1d.

_getitem_array1d is replaced with _getitem_array_single_int in Numba 0.49.

* Unskip tests

* Unskip old test

* Fix Series.at

* Unskip tests

Author: PokhodenkoSA

buildscripts/sdc-conda-recipe/meta.yaml

@@ -1,4 +1,4 @@
-{% set NUMBA_VERSION = "==0.48" %}
+{% set NUMBA_VERSION = "==0.49.0" %}
 {% set PANDAS_VERSION = "==0.25.3" %}
 {% set PYARROW_VERSION = "==0.15.1" %}
 

docs/source/compilation.rst

@@ -35,7 +35,7 @@ Output:
 
     Traceback (most recent call last):
     ...
-    numba.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
+    numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
     Unknown attribute 'read_excel' of type Module(<module 'pandas' from ...)
 
 

requirements.txt

@@ -1,4 +1,4 @@
 numpy>=1.16
 pandas==0.25.3
 pyarrow==0.15.1
-numba==0.48
+numba==0.49

sdc/__init__.py

@@ -57,8 +57,8 @@
     """
 
     # sdc.config.numba_compiler_define_nopython_pipeline_orig = \
-    # numba.compiler.DefaultPassBuilder.define_nopython_pipeline
-    # numba.compiler.DefaultPassBuilder.define_nopython_pipeline = \
+    # numba.core.compiler.DefaultPassBuilder.define_nopython_pipeline
+    # numba.core.compiler.DefaultPassBuilder.define_nopython_pipeline = \
     # sdc.datatypes.hpat_pandas_dataframe_pass.sdc_nopython_pipeline_lite_register
 
     import sdc.rewrites.dataframe_constructor

sdc/compiler.py

@@ -34,18 +34,18 @@
 from sdc.hiframes.hiframes_typed import HiFramesTypedPass
 from sdc.hiframes.dataframe_pass import DataFramePass
 import numba
-import numba.compiler
-from numba.compiler import DefaultPassBuilder
+import numba.core.compiler
+from numba.core.compiler import DefaultPassBuilder
 from numba import ir_utils, ir, postproc
-from numba.targets.registry import CPUDispatcher
-from numba.ir_utils import guard, get_definition
-from numba.inline_closurecall import inline_closure_call
+from numba.core.registry import CPUDispatcher
+from numba.core.ir_utils import guard, get_definition
+from numba.core.inline_closurecall import inline_closure_call
 from numba.typed_passes import (NopythonTypeInference, AnnotateTypes, ParforPass, IRLegalization)
 from numba.untyped_passes import (DeadBranchPrune, InlineInlinables, InlineClosureLikes)
 from sdc import config
 from sdc.distributed import DistributedPass
 
-from numba.compiler_machinery import FunctionPass, register_pass
+from numba.core.compiler_machinery import FunctionPass, register_pass
 
 # workaround for Numba #3876 issue with large labels in mortgage benchmark
 binding.set_option("tmp", "-non-global-value-max-name-size=2048")
@@ -143,7 +143,7 @@ def run_pass(self, state):
         return True
 
 
-class SDCPipeline(numba.compiler.CompilerBase):
+class SDCPipeline(numba.core.compiler.CompilerBase):
     """SDC compiler pipeline
     """
 
@@ -170,7 +170,7 @@ def __init__(self):
         pass
 
     def run_pass(self, state):
-        numba.parfor.lower_parfor_sequential(
+        numba.parfors.parfor.lower_parfor_sequential(
             state.typingctx, state.func_ir, state.typemap, state.calltypes)
 
         return True

sdc/cv_ext.py

@@ -28,12 +28,12 @@
 import numba
 import sdc
 from numba import types
-from numba.typing.templates import infer_global, AbstractTemplate, infer, signature
+from numba.core.typing.templates import infer_global, AbstractTemplate, infer, signature
 from numba.extending import lower_builtin, overload, intrinsic
-from numba import cgutils
+from numba.core import cgutils
 from sdc.str_ext import string_type
-from numba.targets.imputils import impl_ret_new_ref, impl_ret_borrowed
-from numba.targets.arrayobj import _empty_nd_impl
+from numba.core.imputils import impl_ret_new_ref, impl_ret_borrowed
+from numba.np.arrayobj import _empty_nd_impl
 
 import cv2
 import numpy as np

sdc/datatypes/common_functions.py

@@ -35,11 +35,11 @@
 from pandas.core.indexing import IndexingError
 
 import numba
-from numba.targets import quicksort
+from numba.misc import quicksort
 from numba import types
-from numba.errors import TypingError
+from numba.core.errors import TypingError
 from numba.extending import register_jitable
-from numba import numpy_support
+from numba.np import numpy_support
 from numba.typed import Dict
 
 import sdc

sdc/datatypes/hpat_pandas_dataframe_functions.py

@@ -37,10 +37,10 @@
 
 from pandas.core.indexing import IndexingError
 
-from numba import types, prange
-from numba.special import literally
+from numba import types
+from numba import literally
 from numba.typed import List, Dict
-from numba.errors import TypingError
+from numba.core.errors import TypingError
 from pandas.core.indexing import IndexingError
 
 from sdc.hiframes.pd_dataframe_ext import DataFrameType

sdc/datatypes/hpat_pandas_dataframe_getitem_types.py

@@ -27,10 +27,11 @@
 
 import pandas
 
-from numba import types, cgutils
+from numba import types
+from numba.core import cgutils
 from numba.extending import models, overload, register_model, make_attribute_wrapper, intrinsic
-from numba.datamodel import register_default, StructModel
-from numba.typing.templates import signature
+from numba.core.datamodel import register_default, StructModel
+from numba.core.typing.templates import signature
 
 
 class DataFrameGetitemAccessorType(types.Type):